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Reject unimodality??

daemon@ATHENA.MIT.EDU (Wenzl, Thurman)
Fri Jan 27 17:43:14 1995

From: "Wenzl, Thurman" <TYW1@NIOSHE2.EM.CDC.GOV>
To: 'snews' <s-news@utstat.toronto.edu>
Date: Fri, 27 Jan 95 17:14:00 EST


Did folks see this brief exchange (excerpted below) on stat-l.  I'm looking 
for an implementation of something like this in S+; any leads?
I know how to use ms() - barely - to estimate the parameters of a 
bimodal-appearing distrib - but I'm looking for something 'quick and dirty' 
to reject unimodality, prior to going on with ms() etc.
Thanks in advance,
Thurman Wenzl, NIOSH Cinti, tyw1@nioshe2.em.cdc.gov

Multimodality is, indeed, an intuitively simple concept which proves tricky 
to
quantify systematically.  You might check out the following two references:

Larkin, R. P. (1979).  An algorithm for assessing bimodality vs. unimodality
in
a univariate distribution.  Behavior Research Methods & Instrumentation,
11(4),
467-468.

Hartigan, P. M. (1985).  Computation of the Dip statistic to test for
unimodality.  Applied Statistics, 34(3), 320-325.

The latter reference includes FORTRAN code.

 --------
Andy Gilpin, Dept. of Psychology,     |Internet: andy.gilpin@uni.edu
Univ. of Northern Iowa, Cedar Falls,  |Phone: (319) 273-6104
Iowa 50614-0505                       |

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